Update app.py

app.py

@@ -10,7 +10,7 @@ import pickle
 
 
 # Load your CNN tumor classification model
-cnn_model = tf.keras.models.load_model('APP\cnn_tumor_model.h5')
+cnn_model = tf.keras.models.load_model('cnn_tumor_model.h5')
 
 # Function to perform image classification using CNN
 def classify_image(img, cnn_model):
@@ -27,9 +27,9 @@ def classify_image(img, cnn_model):
 
 
 # Load your RNN SMS spam detection model
-rnn_smsspam_model = tf.keras.models.load_model('APP/rnn_smsspam_model.h5')
+rnn_smsspam_model = tf.keras.models.load_model('rnn_smsspam_model.h5')
 # Load the saved tokenizer
-with open('APP/rnn_smsspam_tokenizer.pickle', 'rb') as handle:
+with open('rnn_smsspam_tokenizer.pickle', 'rb') as handle:
     rnn_smsspam_tokenizer = pickle.load(handle)
 
 def rnn_predict_message(input_text):